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Advection-based extrapolation (:mod: `pysteps.advection `)
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********************************************************
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+ Methods for advection-based extrapolation of precipitation fields. Currently
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+ the module contains an implementation of the semi-Lagrangian method described
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+ in :cite: `GZ2002 `.
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+
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pysteps\. advection\. interface
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-----------------------------
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Scale-based decomposition of precipitation fields (:mod: `pysteps.cascade `)
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**************************************************************************
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+ Methods for band-pass filtering and scale-based decomposition of 2d precipitation
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+ fields.
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+
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pysteps.cascade.interface
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Input/output routines (:mod: `pysteps.io `)
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*****************************************
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+ Methods for browsing data archives, reading 2d precipitation fields and writing
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+ forecasts into files.
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+
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pysteps\. io\. interface
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----------------------
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Noise generators (:mod: `pysteps.noise `)
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***************************************
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+ Methods for generating stochastic perturbations of 2d precipitation and velocity
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+ fields.
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+
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pysteps\. noise\. interface
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Nowcasting methods (:mod: `pysteps.nowcasts `)
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********************************************
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+ Implementations of nowcasting methods. Currently the module contains a
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+ deterministic advection extrapolation method and STEPS.
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+
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pysteps\. nowcasts\. interface
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----------------------------
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Optical flow methods (:mod: `pysteps.optflow `)
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*********************************************
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+ Implementations of optical flow methods.
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+
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pysteps\. optflow\. interface
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---------------------------
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Post-processing of forecasts (:mod: `pysteps.postproc `)
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******************************************************
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+ Methods for post-processing of forecasts. Currently the module contains
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+ cumulative density function (CDF)-based matching between a forecast and the
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+ target distribution.
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+
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pysteps\. postproc\. probmatching
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-------------------------------
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Time series modeling and analysis (:mod: `pysteps.timeseries `)
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*************************************************************
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+ Methods and models for time series analysis. Currently the module contains
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+ implementation of an autoregressive AR(p) model and methods for estimating
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+ the model parameters.
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+
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pysteps\. timeseries\. autoregression
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-----------------------------------
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Miscellaneous utility functions (:mod: `pysteps.utils `)
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******************************************************
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+ Utility functions for converting data values to/from different units and
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+ manipulating the dimensions of precipitation fields.
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+
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pysteps\. utils\. conversion
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--------------------------
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.. currentmodule :: pysteps.utils.conversion
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.. autosummary ::
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to_rainrate
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- to_raindetph
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+ to_raindepth
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to_reflectivity
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.. automodule :: pysteps.utils.conversion
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Forecast verification (:mod: `pysteps.verification `)
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***************************************************
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+ Methods for verification of deterministic and ensemble forecasts.
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+
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pysteps\. verification\. detcatscores
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-----------------------------------
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